Vincent Landau
Machine Learning Engineer at Vibrant Planet
Fort Collins, Colorado, United States
Summary
👤
Senior🎓
Top SchoolVincent Landau is a machine learning engineer based in Fort Collins with a decade of experience applying ML to Earth observation, remote sensing, and environmental monitoring. He blends geospatial expertise in Python and Julia with a strong background in wildlife connectivity modeling developed through research roles and applied data science positions. Currently at Vibrant Planet, he has moved from data scientist to machine learning engineer, bringing practical production skills alongside academic rigor from an MS in Ecology. Vincent is an active open-source developer and author of multiple packages in Python, R, and Julia, linking reproducible science to operational tools. He often tackles questions that bridge ecology and scalable ML pipelines—translating satellite and spatial data into actionable environmental insights.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS Ecology, Master of Science - MS Ecology at Colorado State University
Github Skills (122)
ecology10
gdal10
connectivity10
theory10
science10
julia10
predict10
raster10
geospatial-visualization10
circuit10
modeling-tool10
agent-based-modeling10
geospatial10
geo10
climate-change10
Programming languages (11)
Github contributions (5)
Circuitscape/SpatialGraphs.jl
Aug 2021 - Jan 2022
Types and constructors for spatially referenced graphs.
Contributions:21 commits, 15 PRs, 77 pushes in 4 months
constructorsjulia-languagegraphsgraphgraph-theory
Circuitscape/SpatialGraphs-OLD
Dec 2020 - May 2022
Archive of early development of SpatialGraphs.jl -- preserved because it is a dependency for other work
Contributions:13 commits, 4 PRs, 42 pushes in 1 year 4 months
archivejulia
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